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Sökning: LAR1:uu > Blekinge Tekniska Högskola > Kungliga Tekniska Högskolan

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1.
  • Lundberg, Jenny, et al. (författare)
  • An Approach towards using Agent in Multi-Agent Systems to streamline emergency services
  • 2008
  • Ingår i: Proceedings of 5th International Conference on Information Technology and Applications. - Cairns, Austrailia. - 9780980326727
  • Konferensbidrag (refereegranskat)abstract
    • In emergency services, the evaluation of a situation is performed, manually, which includes synchronizing the services for each situation. However, the work requires divergent and decisive decisions resolved from several points of views, which would benefit from automating parts of the work. Using computer systems in life-critical domains can nvolve careful consideration of the work practice and of the situation components. In this paper, we propose using agents, intelligent agents and meta-agents, to streamline emergency services. The intelligent agents respond to both static and dynamic input in a flexible and structured way and perform required actions. From these actions, the meta-agents are created in which the divisions of dynamic and static information have an impact on the structure of the calculations but also on the outcome produced by the meta-agents. As an example application, we provide a scenario of agents and meta-agents in multi-agent systems, where the meta-agents hold systemic properties. The scenario has a strong grounding in the emergency service domain, in which we highlight coordination issues related to the multi-agents and the meta-agents.
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2.
  • Spjuth, Ola, 1977-, et al. (författare)
  • E-Science technologies in a workflow for personalized medicine using cancer screening as a case study
  • 2017
  • Ingår i: JAMIA Journal of the American Medical Informatics Association. - : Oxford University Press. - 1067-5027 .- 1527-974X. ; 24:5, s. 950-957
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: We provide an e-Science perspective on the workflow from risk factor discovery and classification of disease to evaluation of personalized intervention programs. As case studies, we use personalized prostate and breast cancer screenings.Materials and Methods: We describe an e-Science initiative in Sweden, e-Science for Cancer Prevention and Control (eCPC), which supports biomarker discovery and offers decision support for personalized intervention strategies. The generic eCPC contribution is a workflow with 4 nodes applied iteratively, and the concept of e-Science signifies systematic use of tools from the mathematical, statistical, data, and computer sciences.Results: The eCPC workflow is illustrated through 2 case studies. For prostate cancer, an in-house personalized screening tool, the Stockholm-3 model (S3M), is presented as an alternative to prostate-specific antigen testing alone. S3M is evaluated in a trial setting and plans for rollout in the population are discussed. For breast cancer, new biomarkers based on breast density and molecular profiles are developed and the US multicenter Women Informed to Screen Depending on Measures (WISDOM) trial is referred to for evaluation. While current eCPC data management uses a traditional data warehouse model, we discuss eCPC-developed features of a coherent data integration platform.Discussion and Conclusion: E-Science tools are a key part of an evidence-based process for personalized medicine. This paper provides a structured workflow from data and models to evaluation of new personalized intervention strategies. The importance of multidisciplinary collaboration is emphasized. Importantly, the generic concepts of the suggested eCPC workflow are transferrable to other disease domains, although each disease will require tailored solutions.
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